Information Retrieval Jobs in Bengaluru

Information Developer Experience: 3 8 years Location: Bengaluru Department: Product & Engineering Join VuNet Shape the Way the World Understands Observability VuNet is redefining digital experiences through Business Journey Observability, harnessing the power of Big Data and Machine Learning. Our platform monitors 28+ billion transactions monthly, enhancing operational resilience and customer satisfaction across India s top banks and financial institutions. Recognized by NASSCOM, Forbes, and Gartner, VuNet is building a world-class deep-tech product in India that s making waves globally. Your Role: Information Developer We re looking for an experienced Information Developer to lead the creation of high-quality product documentation that enables our users to easily understand and unlock the full value of VuNet s platform. You ll work closely with product managers, engineers, and support teams to translate complex technical concepts into clear, concise, and user-focused content. If you have a passion for clarity, love simplifying complexity, and want to shape the voice of a rapidly scaling tech product this is your opportunity. Key Responsibilities Develop, manage, and update product documentation, including: User guides API references Troubleshooting manuals Online help and release notes Collaborate with cross-functional teams (Product, Engineering, Support) to gather technical details and ensure content accuracy. Translate technical concepts into easy-to-understand content for diverse audiences. Contribute to product UI/UX copy to ensure a consistent, user-friendly experience. Keep documentation aligned with product changes in fast-moving release cycles. Create content for tutorials, knowledge base articles, and multimedia assets (videos, walkthroughs, etc.). Leverage Generative AI tools to streamline content development and enhance user experience. Participate in product planning meetings to identify and prioritize documentation needs. What You Bring 3 8 years of experience as a Technical Writer or Information Developer, ideally in a SaaS or enterprise software environment. Strong command of English with excellent writing, editing, and structuring skills. Proficiency using Generative AI tools for documentation and content automation. Experience with documentation tools such as Markdown, MadCap Flare, Confluence, Git, or similar. Ability to understand and explain complex software systems, APIs, or developer tools. A proactive mindset with strong organizational and collaboration skills. A degree in Engineering, Computer Science, or a related technical field. (Bonus) Familiarity with observability tools, monitoring platforms, or infrastructure tech. Life at VuNet We re a team of curious, driven, and passionate problem-solvers. At VuNet, you ll collaborate with deep-tech innovators, explore emerging technologies like Gen AI, and be part of something big a globally recognized platform built proudly in India. Your work will directly impact millions of users and some of the most mission-critical systems in the digital economy. Your Benefits Comprehensive health insurance for you, your dependents, and your parents. Mental wellness support and 1:1 counseling sessions. Transparent and inclusive culture focused on ownership and growth. Workspaces and tools equipped for next-gen technologies and innovation. Continuous learning through structured training and development programs.

Job Title: Information Security Engineer Location: Bengaluru Company: Altisource (NASDAQ: ASPS) About Altisource At Altisource, we develop cutting-edge technologies and services for the mortgage and real estate industry. We re a trusted partner to 7 of the top 10 U.S. mortgage servicers, operate one of the leading real estate auction platforms, and support a cooperative with over 15% market share in the $1.8 trillion U.S. originations market. If you're passionate about cybersecurity and want to make an impact in a high-growth, tech-driven environment this is the role for you. Position Summary We re looking for a highly motivated Information Security Engineer to support our growing security operations. You will play a vital role in identifying and mitigating security risks across applications, systems, and networks. This role involves vulnerability assessments, code reviews, and automation of security tasks ensuring Altisource remains secure and compliant in a fast-paced environment. Key Responsibilities Conduct vulnerability assessments on applications, networks, and systems. Perform manual verification to reduce false positives and validate security fixes. Communicate identified vulnerabilities and recommend remediation steps to internal teams. Perform secure code reviews and assist development teams in fixing identified issues. Identify and mitigate risks throughout the software development lifecycle. Leverage commercial and open-source tools for vulnerability detection (e.g., Qualys, Nessus, Burp Suite). Assist in internal penetration testing initiatives. Develop internal tools and automate security tasks, leveraging AI where applicable. Stay updated on the latest threats, tools, and best practices in cybersecurity. Create detailed assessment reports and present findings to technical and non-technical stakeholders. Train and mentor team members on vulnerability management processes and tools. Required Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 3 to 5 years of hands-on experience in information security or related roles. Relevant certifications such as CEH, GIAC, or similar. Solid experience in: Network vulnerability assessments Application scanning and secure code review Windows, Linux, and Unix operating systems Familiarity with OWASP tools, methodologies, and security best practices. Strong communication skills both written and verbal. Preferred Skills Experience with tools like: Qualys, Nessus, Nexpose, SAINT Burp Suite Pro, HP WebInspect Static analysis tools (e.g., IBM AppScan Source, Fortify) Proficiency in one or more programming languages: Java, C, C++, .NET (C#, VB). Experience delivering training or presenting technical content to teams. Background in technical writing or web development is a plus. Be part of a team securing technologies used by top players in the mortgage and real estate space. Work with modern tools and frameworks. Enjoy a collaborative environment that supports innovation, growth, and learning. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 5 years of experience with one or more general-purpose programming languages, including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go. 4 years of experience with Distributed Processing, System Design, and High-Performance Computing. Preferred Qualifications: Experience in solving ambiguous problems in complex environments. Experience in building distributed systems that are scalable and efficient. Ability to design and complete projects independently, taking ownership of the end-to-end process. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile. The list of technologies we engage with is always growing. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Core Team Overview: The Core team builds the technical foundation behind Google s flagship products. We are the owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure that make up the backbone of Google s services. These are essential building blocks for creating excellent, safe, and coherent user experiences that also drive the pace of innovation for every developer at Google. We look across Google s products to build central solutions, break down technical barriers, and strengthen existing systems. As the Core team, we have the unique opportunity to impact critical technical decisions across the company, influencing the direction of the most foundational and influential aspects of Google s technology. Responsibilities: Work on a core indexing platform that is pivotal to the functionality and performance of Google s services. Design, develop, and maintain highly efficient, scalable, and robust systems to manage large-scale indexing challenges. Work with cross-functional teams to create innovative solutions for distributed computing problems, ensuring that Google s products remain performant and reliable at scale. Contribute to building distributed systems capable of handling immense data volumes in real-time, ensuring that Google's systems can scale with global usage. Participate in code reviews, design discussions, and the creation of detailed documentation to ensure high-quality outcomes. Qualification : Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience building and developing infrastructure, distributed systems, or networks, or experience with compute technologies, storage, or hardware architecture. Experience developing accessible technologies. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions that impact billions of users worldwide. Responsibilities: Write product or system development code to build solutions at scale. Participate in, or lead, design reviews with peers and stakeholders to make technology decisions and choose the best available solutions. Review code developed by other engineers, providing feedback to ensure best practices are followed (e.g., style guidelines, checking code in, accuracy, testability, efficiency). Contribute to existing documentation or educational content, updating it based on product or program changes and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and assessing their impact on hardware, networks, or services. About the Core Team: The Core team at Google builds the technical foundation behind Google s flagship products. As the foundation of Google s platform, we are responsible for the underlying design elements, developer platforms, product components, and infrastructure that are essential for building excellent, safe, and coherent experiences for users. We influence the pace of innovation across every developer team at Google. We provide central solutions, break down technical barriers, and strengthen existing systems, creating innovative and scalable solutions that power the products used by billions of people. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Software Engineer at Google (Android Focus) Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience in Android, Kotlin, Java, Mobile App Development, API Design. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience in backend e-commerce, internationalization, and localization. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Job Title: Software Engineer About the Role: At Google, our Software Engineers are at the forefront of innovation, designing and developing cutting-edge technologies that shape how billions of users connect, explore, and interact with information. Our products operate at an immense scale, extending far beyond web search, and require engineers who bring fresh perspectives from diverse technical domains, including information retrieval, distributed computing, large-scale system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile development. As a Software Engineer, you will contribute to mission-critical projects, collaborating with teams across Google to develop, test, deploy, maintain, and enhance software solutions. Your versatility, leadership abilities, and enthusiasm for solving complex challenges will be crucial as you navigate projects across the full technology stack. The Core Team serves as the backbone of Google s technical infrastructure, building the foundational elements behind our flagship products. This team is responsible for developing essential developer platforms, product components, and infrastructure that drive innovation across Google s ecosystem. As a member of this team, you will play a pivotal role in breaking down technical barriers, optimizing existing systems, and making key architectural decisions that influence the entire organization. Key Responsibilities: Design, develop, and maintain high-quality software solutions that support Google's technical infrastructure and products. Participate in and lead design reviews with peers and stakeholders, evaluating available technologies to determine optimal solutions. Conduct thorough code reviews to ensure adherence to best practices, including code quality, efficiency, accuracy, testability, and compliance with style guidelines. Contribute to documentation and educational resources, updating content based on product enhancements and user feedback. Troubleshoot and debug complex system issues, analyzing their impact on hardware, networks, and service operations to maintain optimal performance and reliability. At Google, we foster a culture of continuous learning, innovation, and technical excellence. If you're passionate about solving challenging problems and building world-class technology, we invite you to be part of our journey. Qualification : Bachelors degree or equivalent practical experience.

Engineer - Enterprise Platform (E-commerce) Job Overview Engineer - Enterprise Platform in E-commerce with 3-7 years of experience. Extensive proficiency in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Strong understanding of middleware MVC for system communication. Skilled in front-end development, web components, and data management. Experienced in agile methodologies, information technology, and security principles. Responsibilities include designing and implementing custom solutions, creating RESTful APIs, collaborating with diverse teams, conducting code reviews, upholding coding standards, and staying updated on Salesforce features. Good to have experience in requirement analysis, mentoring, CI/CD tools, and strong interpersonal skills. Bachelor's degree in Computer Science or related field required, with preference for Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications. Roles & Responsibilities Design, develop, and implement advanced custom solutions using Salesforce Lightning Web Components (LWC) and Apex in an enterprise platform environment. Create and maintain RESTful APIs for seamless integration between Salesforce and external systems, ensuring data consistency and security. Collaborate with diverse teams, including business analysts and project managers, to gather requirements, design solutions, and deliver business-driven outcomes. Conduct thorough code reviews, identify and debug issues, and provide technical mentorship to junior developers to enhance their skills and knowledge. Uphold best practices in coding standards, security protocols, and performance optimization throughout the software development lifecycle. Stay abreast of the latest Salesforce features and updates, proactively suggesting enhancements and innovations for continuous improvement. Leverage expertise in Salesforce administration, configuration, and data management to streamline processes and enhance system efficiency. Demonstrate proficiency in SOQL, SOSL, and integration techniques to build robust Salesforce solutions. Engage in requirements analysis, design, testing, and deployment phases with meticulous attention to detail. Possess excellent problem-solving abilities and collaborate effectively within the team and with non-technical stakeholders. Preferred qualifications include Salesforce certifications, familiarity with other Salesforce development tools, Agile methodologies, and CI/CD practices. Our Ideal Candidate Extensive experience in middleware MVC, JavaScript, CSS, web components, data management, integration, agile development, information technology, security, API, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5. Proficiency in these skills should range from intermediate to advanced levels for candidates with 3-7 years of experience. Understanding middleware MVC is crucial for managing communication between systems and enabling seamless data flow. Proficiency in JavaScript and CSS is necessary for front-end development and enhancing user interfaces. Knowledge of web components is vital for building modular and reusable web elements. Expertise in data management is required to ensure efficient storage, retrieval, and manipulation of data. Experience in integration and agile development methodologies is important for collaborative and iterative project execution. Understanding information technology and security principles is essential for maintaining system integrity and data protection. Proficiency in API development, SOQL, SOSL, Salesforce, Apex, deployments, LWC, and HTML5 is crucial for developing scalable and secure Salesforce applications. Skills in Salesforce, Lightning Web Components, RESTful APIs, Apex, SOQL/SOSL, HTML5, CSS, and JavaScript are particularly prioritized for this role at EBAY. A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position. Salesforce Certified Platform Developer II and AWS Certified Solutions Architect - Professional certifications are preferred for this role. Company Overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this position

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

About the Job Google s software engineers develop next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products operate at massive scale and extend well beyond web search. We seek engineers who bring fresh ideas from diverse areas, including: Information retrieval Distributed computing Large-scale system design Networking and data storage Security Artificial intelligence Natural language processing UI design and mobile As a Software Engineer at Google, you ll work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business evolve. We need engineers who are versatile, show leadership qualities, and are enthusiastic about solving new problems across the full stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. About Google Ads Google Ads powers the open internet with cutting-edge technology that creates value for users, publishers, advertisers, and Google. Our teams build Google s advertising products across search, display, shopping, travel, and video advertising, as well as analytics. We create trusted experiences between people and businesses with useful ads that help grow companies from small businesses to large brands and YouTube creators. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to evaluate technologies and approaches. Review code developed by other developers, providing feedback to ensure best practices (e.g., style guidelines, code accuracy, testability, and efficiency). Contribute to and adapt documentation and educational content based on product updates and user feedback. Triage and debug product or system issues by analyzing sources of problems and their impact on hardware, networks, or service operations. Minimum Qualifications Bachelor s degree or equivalent practical experience. 5 years of experience in software development in one or more programming languages, with expertise in data structures and algorithms. 3 years of experience in testing, maintaining, or launching software products. 1 year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1 year of experience in a technical leadership role. Experience developing accessible technologies. Qualification : Bachelors degree or equivalent practical experience.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Qualification : Bachelors degree or equivalent practical experience.